Penerapan Algoritma K-Means Tingkat Kesehatan Bayi (Studi Kasus :Dinas Kesehatan Kota Binjai)

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Information and Learning Technology Pub Date : 2022-03-13 DOI:10.32938/jitu.v2i1.1116
Roma Uli Br Sitanggang
{"title":"Penerapan Algoritma K-Means Tingkat Kesehatan Bayi (Studi Kasus :Dinas Kesehatan Kota Binjai)","authors":"Roma Uli Br Sitanggang","doi":"10.32938/jitu.v2i1.1116","DOIUrl":null,"url":null,"abstract":"The Binjai City Health Office always conducts counseling and weighing for babies and provides information to parents about nutrition and health for babies and provides information to parents about nutrition and health in children so they are not susceptible to disease. Due to limited knowledge of parents about health and nutrition In infants, it is very worried about children who are malnourished and cause children to be easily infected with viruses and diseases, both minor and dangerous diseases. Cluster analysis is the work of classifying data (objects) based only on the information found in the data that describes these objects and the relationships between them. Objects that are joined in a group are objects that are similar (or related) to each other and different (not related) to objects in other groups. One of the most widely used methods in the cluster method is the K-Means algorithm. \nFrom the tests carried out using the clustering method with the k-means algorithm, cluster 2 of the criteria for age, body weight, body length, and motor ability, the group that has the highest and most set / value, namely in Cluster 2 totals 624 data on infant health levels. and in cluster 2 in the group of babies aged 4-6 months and weighing 4-8 kg and 55-63.5 cm long and having the ability to crawl, try to stand with assistance. And it can be seen that the 3 clusters of the criteria for Age, Weight, Body Length, and Motoric ability, the group that has the highest and most sets / values, namely in Cluster 2 totaling 368 data on the health level of infants and in cluster 2 in the group of infants aged 4-6 months. and has a body weight of 4-8 kg and a display body of 55-63.5 cm and has the ability to crawl, materials to try to stand up with assistance. And it can be seen that the 3 clusters of the criteria for age, weight, body length, and motor ability, the group that has the highest and most sets / values, namely in Cluster 4 totaling 348 data on infant health levels and in cluster 4 in the group of infants aged 7-9 months and has a body weight of 4-8 kg and a body length of 55-63.5 cm and has the ability to crawl, move the buttocks, roll, or a combination of various movements.","PeriodicalId":51872,"journal":{"name":"International Journal of Information and Learning Technology","volume":"77 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2022-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Learning Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32938/jitu.v2i1.1116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

The Binjai City Health Office always conducts counseling and weighing for babies and provides information to parents about nutrition and health for babies and provides information to parents about nutrition and health in children so they are not susceptible to disease. Due to limited knowledge of parents about health and nutrition In infants, it is very worried about children who are malnourished and cause children to be easily infected with viruses and diseases, both minor and dangerous diseases. Cluster analysis is the work of classifying data (objects) based only on the information found in the data that describes these objects and the relationships between them. Objects that are joined in a group are objects that are similar (or related) to each other and different (not related) to objects in other groups. One of the most widely used methods in the cluster method is the K-Means algorithm. From the tests carried out using the clustering method with the k-means algorithm, cluster 2 of the criteria for age, body weight, body length, and motor ability, the group that has the highest and most set / value, namely in Cluster 2 totals 624 data on infant health levels. and in cluster 2 in the group of babies aged 4-6 months and weighing 4-8 kg and 55-63.5 cm long and having the ability to crawl, try to stand with assistance. And it can be seen that the 3 clusters of the criteria for Age, Weight, Body Length, and Motoric ability, the group that has the highest and most sets / values, namely in Cluster 2 totaling 368 data on the health level of infants and in cluster 2 in the group of infants aged 4-6 months. and has a body weight of 4-8 kg and a display body of 55-63.5 cm and has the ability to crawl, materials to try to stand up with assistance. And it can be seen that the 3 clusters of the criteria for age, weight, body length, and motor ability, the group that has the highest and most sets / values, namely in Cluster 4 totaling 348 data on infant health levels and in cluster 4 in the group of infants aged 7-9 months and has a body weight of 4-8 kg and a body length of 55-63.5 cm and has the ability to crawl, move the buttocks, roll, or a combination of various movements.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于基于婴儿健康水平的算法的应用(案例研究:Binjai市卫生部门)
滨江市卫生局一直为婴儿进行咨询和称重,向父母提供婴儿营养和健康方面的信息,并向父母提供儿童营养和健康方面的信息,使他们不容易生病。由于父母对婴儿的健康和营养知识有限,非常担心孩子营养不良,导致孩子容易感染病毒和疾病,无论是轻微的还是危险的疾病。聚类分析是仅根据在数据中发现的描述这些对象的信息及其之间的关系对数据(对象)进行分类的工作。在组中加入的对象是彼此相似(或相关)且与其他组中的对象不同(不相关)的对象。聚类方法中应用最广泛的方法之一是K-Means算法。从使用k-means算法的聚类方法进行的测试中,年龄、体重、体长和运动能力标准的聚类2中,集/值最高和最多的组,即聚类2中总共有624个婴儿健康水平数据。第二组是4-6个月大的婴儿,体重4-8公斤,长55-63.5厘米,有爬行能力,试着在帮助下站立。可以看出,年龄、体重、体长和运动能力标准的3个聚类中,集/值最高和最多的一组,即聚类2中有368个婴儿健康水平数据,聚类2中有4-6个月的婴儿。并具有4-8公斤的体重和55-63.5厘米的显示体,并具有爬行的能力,在材料的帮助下尽量站起来。和可以看出3集群的标准年龄、体重、体长、和运动能力,该集团的最高和最集/价值观,即集群4总计348婴儿健康水平和数据在集群4组的婴儿7 - 9个月,体重4 - 8公斤,体长55 - 63.5厘米,爬行的能力,移动臀部,滚,或者各种动作的结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Information and Learning Technology
International Journal of Information and Learning Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.10
自引率
3.30%
发文量
33
期刊介绍: International Journal of Information and Learning Technology (IJILT) provides a forum for the sharing of the latest theories, applications, and services related to planning, developing, managing, using, and evaluating information technologies in administrative, academic, and library computing, as well as other educational technologies. Submissions can include research: -Illustrating and critiquing educational technologies -New uses of technology in education -Issue-or results-focused case studies detailing examples of technology applications in higher education -In-depth analyses of the latest theories, applications and services in the field The journal provides wide-ranging and independent coverage of the management, use and integration of information resources and learning technologies.
期刊最新文献
Development of an Automated Hall Effect Experimentation Method for the Electrical Characterization of Thin Films Deteksi Tingkat Kematangan Buah Pinang Menggunakan Metode Support Vector Machine Berdasarkan Warna Dan Tekstur Analisis Kinerja Mikrokomputer Raspberry Pi Pada Smart Greenhouse Berbasis Internet Of Things (IoT) Menggunakan Algoritma Naive Baye SISTEM PENDUKUNG KEPUTUSAN PENENTUAN GURU BERPRESTASI MENGGUNAKAN METODE TOPSIS (STUDI KASUS: DINAS PPO KAB. TTU) Analisis Kepuasan Pengguna Terhadap Penerapan Sistem Informasi Terpadu Layanan Prodi (SIPLO) Menggunakan End User Computing Satisfaction (EUCS)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1